code: def download_nlpl_model(iso_code: str) -> None:
      """Download word2vec model."""
      print(f"Going to download NLPL model for '{iso_code}'.")
      Word2VecEmbeddings(
          iso_code=iso_code,
          interactive=False,
          overwrite=False,
          silent=True,
      )
      print(f"Finished downloading NLPL model for '{iso_code}'.")
  
file_path: cltk/scripts/download_all_models.py
imports: import argparse
  import time
  import spacy
  from cltk.core.exceptions import CLTKException, CorpusImportError
  from cltk.data.fetch import LANGUAGE_CORPORA
  from cltk.data.fetch import FetchCorpus
  from cltk.dependency.spacy_wrapper import MAP_LANGS_CLTK_SPACY
  from cltk.dependency.spacy_wrapper import SpacyWrapper
  from cltk.dependency.stanza_wrapper import MAP_LANGS_CLTK_STANZA
  from cltk.dependency.stanza_wrapper import StanzaWrapper
  from cltk.embeddings.embeddings import MAP_LANGS_CLTK_FASTTEXT
  from cltk.embeddings.embeddings import MAP_NLPL_LANG_TO_URL
  from cltk.embeddings.embeddings import FastTextEmbeddings, Word2VecEmbeddings
  from cltk.nlp import iso_to_pipeline
label_desc: Use image node_id 4 for calling a global function with example usage: download_nlpl_model(iso_code) without return types